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Photogrammetry
Photogrammetry is the science and technology of obtaining reliable information about physical objects and the environment through the process of recording, measuring and interpreting photographic images and patterns of electromagnetic radiant imagery and other phenomena.
Node-based Visual Programming Toolbox
A collaboration friendly studio for NeRFs
open Multiple View Geometry library. Basis for 3D computer vision and Structure from Motion.
A command line toolkit to generate maps, point clouds, 3D models and DEMs from drone, balloon or kite images. 📷
User-friendly, commercial-grade software for processing aerial imagery. ✈️
Specification for streaming massive heterogeneous 3D geospatial datasets 🌎
Photogrammetry Guide. Photogrammetry is widely used for Aerial surveying, Agriculture, Architecture, 3D Games, Robotics, Archaeology, Construction, Emergency management, and Medical.
Unreal Engine 5 Guide. Learn to develop games for Windows, Linux, macOS, iOS, Android, Xbox Series X|S, PlayStation 5, Nintendo Switch.
Fast computer vision library for SFM, calibration, fiducials, tracking, image processing, and more.
Addon to import different photogrammetry formats into Blender
blender python scripts
ICCV 2023 Papers: Discover cutting-edge research from ICCV 2023, the leading computer vision conference. Stay updated on the latest in computer vision and deep learning, with code included. ⭐ support visual intelligence development!
😎 Awesome photogrammetry projects
TeleSculptor: Aerial Photogrammetry Application powered by KWIVER
Coverage planning in general polygons with holes.
3DGS-to-PC: Convert a 3D Gaussian splatting scene into a dense point cloud or basic mesh with advanced customisation options and high-accuracy rendered point colours
Image Signal Processing (ISP) Guide. Learn all about the process of converting an image/video into digital form by performing tasks like noise reduction, filtering, auto exposure, autofocus, HDR correction, and image sharpening with a Specialized type of media processor.
🔥Urban-scale point cloud dataset (CVPR 2021 & IJCV 2022)